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Forge and Cavalry FC share the spoils in a 1-1 draw.
📝 Match Report
How It Unfolded
Forge and Cavalry FC finished level at 1-1 at Tim Hortons Field, Regular Season - 9, in the Canadian Premier League. With the result on the board, the sections below measure it against everything the model and the numbers projected in advance.
The Model vs The Result
The Poisson model went into this projecting Forge 1.11 xG and Cavalry FC 1.41 xG, a combined 2.52. The scoreboard read 1-1 for 2 actual goals. Both sides finished within a goal of their individual projections, so the scoreline sat close to the model's expected shape. Those figures were built on strength ratings of Forge attack 0.95 / defence 0.89 against Cavalry FC attack 1.18 / defence 0.76, drawn from 35/35 games (CurrentSeason).
On the result, the model split it Forge 30% | Draw 27% | Cavalry FC 44%, with Cavalry FC to win its most likely call at 44%. The actual draw had been the model's second-ranked read at 27%, so the result diverged from the top call without being a shock.
Goals & Markets
The model rated Over 2.5 goals at 46%. The game delivered 2, so it stayed under — a call the model got right. Over 1.5 had been 72% and landed. On both teams to score, the model sat at 51% and the match saw both sides score — another call in the model's favour. Historically the two sides average 53% Over 2.5 across their same-competition games (Forge 54%, Cavalry FC 52%), a base rate that pointed the other way from today's under. Their combined BTTS history runs at 57%, which matched the both-scored outcome.
Trading Patterns vs Reality
Forge's trading profile (61 games, 30 home) set some clear expectations: BTTS lands in 48% of their matches — today it did; they keep a clean sheet 34% of the time, and conceded here.
Cavalry FC's trading profile (61 games, 30 away) set some clear expectations: BTTS lands in 66% of their matches — today it did.
Form vs Result
The form lines were close — Forge 1.66 PPG, Cavalry FC 1.84 PPG — offering no strong steer, and the draw fit that even billing.
Verdict
Grading the result against the stored data, 2 of 3 pre-match signals came in: result (miss), Over 2.5 (hit), BTTS (hit). The model got the gist right while missing on the margins.
💡 Key Insights
⚠️ This match report is generated algorithmically from the final score, our prediction model, and each team's historical form and trading data. Analysis is for informational purposes only.